Senior Technology Lead

1 week ago

Bengaluru, Karnataka, India Acumen360 Consulting & HR Solutions Full time ₹ 15,00,000 - ₹ 25,00,000 per year


Job Description:

What You'll Do

  • Design Intelligent Architectures: Lead the design of secure, scalable cloud-native and hybrid architectures optimised for AI innovation.
  • Develop & Accelerate: Build GenAI components, multi-modal agents, fine-tune LLMs, and work on reusable modules using tools like LangGraph and LangChain, automate workflows using platforms like n8n.
  • Cloud Leadership: Architect and implement solutions across Microsoft Azure and AWS, ensuring flexibility, performance, scalability and cost-efficiency.
  • Security First: Define and implement robust security frameworks for APIs, applications, and scalable user access including Single Sign-On (SSO) and identity management using Azure/AWS native services. Apply best practices for securing LLMs and AI models, ensuring data privacy and compliance.
  • Mentor & Lead: Guide and upskill junior engineers through code reviews, design sessions, and hands-on pairing. Provide technical direction while ensuring secure, production-grade implementation.
  • Hands-On Leadership: While you'll be architecting, you're also expected to roll up your sleeves - running AI proof-of-concepts, prototyping "art of the possible" solutions, and accelerating client pilots and production rollouts.
  • AI Solutioning: Evaluate and recommend the right LLMs for the job, balancing tradeoffs of model choice, context window limits, performance, latency, and cost.

What We're Looking For

  • 6+ years of proven hands-on experience in AWS and/or Azure cloud platforms (architecture, deployment, security, scaling) and data engineering.
  • 1-2 years of applied experience in AI/GenAI, including working with multiple LLMs, understanding context windows, fine-tuning vs. prompt engineering, and optimising for performance and cost.
  • Strong experience in implementing security frameworks for APIs, applications, and identity/access management (SSO, RBAC) in cloud environments
  • Proven knowledge of best practices in securing LLM deployments and sensitive data in AI pipelines
  • Solid understanding of cloud-native design principles, cost optimisation, security, and performance tuning
  • Proficiency with building AI agents, workflow automation using AI and modern LLM-based application architectures
  • Strong Python programming skills for building data and AI pipelines
  • A hands-on problem-solver who thrives in ambiguity and loves turning whiteboard ideas into working prototypes
  • Proven leadership in guiding engineering teams, mentoring talent, and delivering complex tech projects
  • Excellent communication and stakeholder engagement skills

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